Job Description
Join Nexus Quantum Labs at the forefront of technological evolution as our 2026 Quantum AI Research Lead. We're pioneering the convergence of quantum computing and artificial intelligence to solve humanity's most complex challenges. This pivotal role demands a visionary who can architect next-generation quantum neural networks while mentoring interdisciplinary teams. You'll collaborate with Nobel laureates and industry disruptors to transform theoretical models into scalable solutions for climate modeling, drug discovery, and autonomous systems.
Our Austin campus features state-of-the-art quantum annealing facilities and AI supercomputers. We offer equity grants, unlimited R&D budgets, and flexible work arrangements for exceptional talent. If you're driven to shape the technological landscape of 2026 and beyond, this is your calling.
Responsibilities
- Design and implement hybrid quantum-classical AI architectures for 2026-era applications
- Lead research teams in developing error-corrected quantum neural networks
- Collaborate with NASA and MIT on quantum-encrypted satellite communication protocols
- Present breakthrough findings at Davos and IEEE Quantum Computing Summit
- Secure $10M+ in DARPA and NSF quantum innovation grants
- Develop ethical frameworks for quantum AI decision-making systems
- Mentor PhD researchers in quantum machine learning methodologies
Qualifications
- PhD in Quantum Computing, AI, or Computational Physics with 5+ years industry experience
- Published research in Nature/Science on quantum machine learning algorithms
- Expertise in Qiskit, Cirq, and quantum circuit optimization techniques
- Proven track record of scaling quantum systems beyond 1000 qubits
- Experience securing federal grants for quantum AI research
- Strong background in tensor networks and quantum error correction
- Deep understanding of quantum supremacy benchmarks and NISQ limitations